Physics Informed Neural Networks (PINNs) have gained significant popularity for solving partial differential equations (PDEs) due to their powerful modeling capabilities. However, their application to ...

This repository is provided as a tutorial for the implementation of integration algorithms of first and second order ODEs through recurrent neural networks in Python. The first order example ...

In this paper, an adaptive near-optimal control law, which is inherently real time, is designed to tackle the contradiction between solution accuracy and solution speed for the optimal control of a ...